Solution Architect, AI and Data Science
We are now looking for a Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms for the ROAP region. We work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer efficiency and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinks about artificial intelligence, someone who can maintain constructive teamwork in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.
You will be working with the latest HPC architecture coupled with the most sophisticated neural network models, changing the way people interact with technology. As a Solutions Architect, the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.
What you’ll be doing:
Assisting field business development in guiding the customer build/extend their GPU infrastructures for AI.
Develop and demonstrate solutions based on NVIDIA’s state-of-the-art ML/DL/AI, data science technologies to customers.
Engage with customers to perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.
Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.
Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.
What we need to see:
MS/PhD in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, and other Engineering fields.
3+ years of experience working with modern Deep Learning techniques, Python, DL framework (e.g., TensorFlow, PyTorch), C, C++ programming experience.
Experience for Data Scientist software includes Pandas, Scikit-learn, XGBoost and NVIDIA RAPIDS, TAO toolkits, Metropolis, DeepStream, TensorRT and Triton Inference Server related solutions.
Excellent programming skills in some rapid prototyping environments such as Python, C++ and parallel programming (e.g., CUDA) is a plus.
Strong written and oral communications skills in English.
Ways to stand out from the crowd:
Proven experience optimization workloads with GPU technology.
Background with NVIDIA AI and Data Science software and platform.
Experience for CUDA / OpenACC programming
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative and autonomous, we want to hear from you!
NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.